AI for Cyber Security: Modern Threat Detection and Defense

As cyber threats become increasingly sophisticated, traditional security measures are no longer enough to protect digital infrastructure. Integrating artificial intelligence and machine learning into your defense strategy is now essential to stay ahead of modern attackers. In this text-only course, you will transition from understanding basic security concepts to applying AI-driven techniques for threat detection and response. You will gain a solid foundation in how modern security teams use intelligent algorithms to automate defense mechanisms, analyze anomalies, and secure digital assets. What you'll learn: Understand the foundational concepts of AI, machine learning, and zero-trust security architectures; Analyze security logs and identify anomalies using basic machine learning algorithms; Configure automated threat detection patterns to recognize malicious behavior; Apply modern AI techniques to defend against phishing, malware, and network intrusions; Evaluate the ethical implications and limitations of AI in cyber defense operations. The course begins with core terminology and foundational security principles before moving into practical written walkthroughs of AI models used for threat hunting. You will read through real-world scenarios and analyze code snippets that demonstrate how to implement these intelligent defense systems. This course is designed for beginners, aspiring cybersecurity analysts, and IT professionals who want to understand the intersection of AI and security, with no prior machine learning experience required. Start reading today to build the skills needed to defend modern networks with intelligent security solutions.